tf.ones_like
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Creates a tensor of all ones that has the same shape as the input.
tf.ones_like(
input, dtype=None, name=None
)
See also tf.ones.
Given a single tensor (tensor), this operation returns a tensor of the
same type and shape as tensor with all elements set to 1. Optionally,
you can use dtype to specify a new type for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.ones_like(tensor)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[1, 1, 1],
[1, 1, 1]], dtype=int32)>
Args |
|---|
input
|
A Tensor.
|
dtype
|
A type for the returned Tensor. Must be float16, float32,
float64, int8, uint8, int16, uint16, int32, int64,
complex64, complex128, bool or string.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor with all elements set to one.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.ones_like\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/array_ops.py#L3015-L3048) |\n\nCreates a tensor of all ones that has the same shape as the input. \n\n tf.ones_like(\n input, dtype=None, name=None\n )\n\nSee also [`tf.ones`](../tf/ones).\n\nGiven a single tensor (`tensor`), this operation returns a tensor of the\nsame type and shape as `tensor` with all elements set to 1. Optionally,\nyou can use `dtype` to specify a new type for the returned tensor.\n\n#### For example:\n\n tensor = tf.constant([[1, 2, 3], [4, 5, 6]])\n tf.ones_like(tensor)\n \u003ctf.Tensor: shape=(2, 3), dtype=int32, numpy=\n array([[1, 1, 1],\n [1, 1, 1]], dtype=int32)\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. |\n| `dtype` | A type for the returned `Tensor`. Must be `float16`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128`, `bool` or `string`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` with all elements set to one. ||\n\n\u003cbr /\u003e"]]
View source on GitHub